Ugwu Samson Nnaemeka, Enweremadu Christopher Chintua
Mechanical and Industrial Engineering, University of South Africa Science Campus, Johannesburg, South Africa.
Agricultural and Bioresources Engineering, Faculty of Engineering, University of Nigeria, Enugu, Nigeria.
Environ Technol. 2023 Feb;44(5):721-738. doi: 10.1080/09593330.2022.2061379. Epub 2022 Apr 18.
In this study, the optimization of additives (polypyrrole magnetite nanocomposites (Ppy/FeO) and antagonists (humic acid and arsenic oxide)) for simultaneous recovery of biomethane and phosphate release from enhanced anaerobic co-digestion of okra waste and pig manure was investigated. The pre-determined dosages of additives from our previous studies were used for the batch anaerobic digestion at different ratios under mesophilic conditions based on the two level-four factors central composite design (CCD) response surface methodology (RSM). After the anaerobic digestion processes, the biomethane yields were recorded and the digestates were characterized to determine the quantity of soluble phosphates. Both the independent variables and the responses were used to model and optimize the biogas yield and phosphate release conditions. The result showed that the maximum biomethane yield and P release were respectively 502.743 mLCH4/gVS and 168.674 mg/L at the optimum conditions of Ppy/FeO (20.0014 mg/L), HA (5.0018 mg/L), As (1.448 mg/L) and co-digestion (25.0001%). The response models predicted biomethane yield and P release to be 528.635 mLCH4/gVS and 164.405 mg/L respectively. All the response models were highly significant with appropriate goodness of fit and had prediction differences of 4.90% and 2.597% respectively for both biomethane yield and P release. Although both the accelerants and antagonists had influences on the anaerobic digestion processes by achieving enhanced biomethane production and P release, the influence of long exposure of anaerobic digestion processes to these additives on both responses is recommended for further investigation.
在本研究中,对添加剂(聚吡咯磁铁矿纳米复合材料(Ppy/FeO))和拮抗剂(腐殖酸和三氧化二砷)进行了优化,以研究从秋葵废料和猪粪的强化厌氧共消化中同时回收生物甲烷和实现磷释放。基于二水平四因素中心复合设计(CCD)响应面法(RSM),在中温条件下,采用我们先前研究中预先确定的添加剂剂量,以不同比例进行批次厌氧消化。厌氧消化过程结束后,记录生物甲烷产量,并对消化液进行表征以确定可溶性磷酸盐的含量。自变量和响应变量均用于模拟和优化沼气产量及磷释放条件。结果表明,在Ppy/FeO(20.0014mg/L)、HA(5.0018mg/L)、As(1.448mg/L)和共消化比例(25.0001%)的最佳条件下,生物甲烷的最大产量和磷释放量分别为502.743 mLCH4/gVS和168.674mg/L。响应模型预测生物甲烷产量和磷释放量分别为528.635 mLCH4/gVS和164.405mg/L。所有响应模型均具有高度显著性,拟合优度良好,生物甲烷产量和磷释放量的预测差异分别为4.90%和2.597%。尽管促进剂和拮抗剂均通过提高生物甲烷产量和磷释放对厌氧消化过程产生影响,但建议进一步研究厌氧消化过程长期暴露于这些添加剂对两种响应的影响。